Michael McCabe, Ph.D.

Software Engineer, Foundation Models for Science, CCA, Flatiron Institute

Michael McCabe joined the Flatiron Institute as a research analyst in 2023. Michael’s research interests are in machine learning and optimization especially for physical systems. Michael’s current research goals are integrating ideas from numerical methods into large-scale deep learning architectures to build tools that are better suited to learning physical dynamics more reliably or efficiently. He received his PhD in Computer Science and M.S. in Applied Mathematics from the University of Colorado, Boulder advised by Prof. Jed Brown and his B.A. in Economics and International Studies from Northwestern University.

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